Data Qe Tester

5 days ago

Gurugram Haryana, India Coforge Ltd. Full time

**Role**:Data QE Tester
**Location**:Gurugram ONLY
**Experience**:5 to 9 years
**Notice Period**:Immediate to 30 days ONLY
- Use ETL Process Testing to ensure the accuracy of data extraction from various sources.
- Ensure the correctness of data transformations throughout the transformation process.
- Verify the accuracy of data transmitted via APIs and test the functionality and services provided by programming interfaces.
- Verify that reports and dashboards (in visualization tool i.e. Power BI) are functioning correctly.
- Ensure that filters, drill-downs, and other interactive features work as expected.
- Perform various types of tests including functional, integration and regression tests to ensure thorough software and data validation.
- Assist in the UAT process, gathering feedback from end-users.
- Prepare detailed test documentation based on business analysis requirements.
- Report and track bugs in JIRA, conducting initial analyses of identified issues.
- Advanced knowledge of Python and SQL languages.
- Accuracy and attention to detail.
- Proficiency in reading and understanding business and technical documentation.
- Ability to think analytically as well as analyze processes and data.
- Ability to write unit tests in the Python language (including knowledge of libraries suitable for this, e.g. pytest, unit test).
- Knowledge of REST API concepts and familiarity with tools for using and testing the API (e.g. Postman).
- Knowledge of techniques and tools for creating automated end-to-end tests for data acquisition and processing.
- Experience working with relational and non-relational databases.
- Ability to use JIRA tools and git repositories.
- Experience in designing and describing scenarios and test cases for internal tests (integration, user) and acceptance tests (UAT).
- Experience with Azure clouds.
- Ability to define and optimize code and data quality assurance processes, as well as implement best practices in this area.
- Familiarity with Data Warehouse / Data Lakes concepts, ETL/ELT processes, data quality verification techniques.

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